Michael Flor is a Senior Research Scientist with nine years of focused experience in NLP and computational linguistics, currently advancing automated text processing for educational assessment at ETS. He combines statistical, linguistic and cognitive approaches to build scalable systems that turn noisy student text into actionable measurement and feedback. His background spans hands-on algorithm design, API and systems architecture, and multilingual technical communication dating back to early R&D roles and technical writing. Holding a Ph.D. in Psychology, he brings uncommon expertise at the intersection of human cognition and language technology, enabling practical solutions that reflect how people actually produce and understand language.
9 years of coding experience
17 years of employment as a software developer
Ph.D., Psychology, Ph.D., Psychology at Tel Aviv University
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